Postdoctoral Research Assistant in Medical Statistics and Machine Learning

We are seeking an enthusiastic Postdoctoral Research Assistant in Medical
Statistics, with an interest in AI, to join the Computational Health
Informatics (CHI) Laboratory, in the Institute of Biomedical Engineering in
the Department of Engineering Science (Headington, Oxford). The full-time post
is funded by the Innovation and Technology Commission and is fixed-term for up
to 12 months, with the possibility of an extension. The CHI Lab is one of the
leading groups for AI in Healthcare, and one of the largest groups in the
Department of Engineering Science, with a friendly, close-knit collaborative
team that undertakes impactful machine learning expertise with world-leading
clinicians across Oxford’s Medical Sciences Division.





This post is part of collaborations with senior colleagues in the Medical
Sciences Division and the Oxford University Hospitals NHS Foundation Trust.
You will be responsible for working with senior medical statisticians to
develop medical statistical methods for improving our understanding of patient
physiological conditions, across a number of high-profile collaborations. This
will be based on developing tools for analysing very large electronic health
record (EHR) and sensor datasets from the Oxford University Hospitals NHS
Foundation Trust and other clinical sources. There is substantial opportunity
for flexibility on topic according to the interests and expertise of the
postholder, as part of a vibrant and successful team, where career development
for scientists is a high priority within one of the world’s fastest-growing
areas for AI.





You should have a PhD (or be close to completion) in medical statistics,
machine learning, computer science, signal processing, computational
statistics, or cognate discipline. You should also have experience of working
in a highly interdisciplinary team, a good knowledge of medical statistics,
with a good publication record in the scientific literature.





Informal enquiries may be addressed to Prof. David Clifton, who is the Royal
Academy of Engineering Chair of Clinical Machine Learning, within the
Department of Engineering Science (email: davidc@robots.ox.ac.uk).





For more information about working at the Department, see
www.eng.ox.ac.uk/about/work-with-us/





Only online applications received before midday on **31 January 2024** can be
considered. You will be required to upload a covering letter/supporting
statement, including a brief statement of research interests (describing how
past experience and future plans fit with the advertised position), CV and the
details of two referees as part of your online application.





The Department holds an Athena Swan Bronze award, highlighting its commitment
to promoting women in Science, Engineering and Technology.